Update app.py

app.py

@@ -66,8 +66,8 @@ inputs = [
 output = gr.outputs.Image(label="Generated images")
 examples = [[3, 0.0, 0.02, 0.95], [10, 0.0, 0.02, 0.95], [20, 1.0, 0.02, 0.95]]
 title = "Denoising Diffusion Implicit Models 🌹💨"
-description = "Generating images with a denoising diffusion implicit model, trained on the Oxford Flowers dataset."
-article = "<div style='text-align: center;'>Keras code example and demo by <a href='https://www.linkedin.com/in/andras-beres-789190210' target='_blank'>András Béres</a></div>"
+description = "Generating images with a denoising diffusion implicit model, trained on the Oxford Flowers dataset. <br/> For details, check out the corresponding <a href='https://keras.io/examples/generative/ddim/' target='_blank'>Keras code example</a>, and the <a href='https://github.com/beresandras/clear-diffusion-keras' target='_blank'>code repository</a> that was used for ablations, with additional features."
+article = "<div style='text-align: center;'><a href='https://keras.io/examples/generative/ddim/' target='_blank'>Keras code example</a> and demo by <a href='https://www.linkedin.com/in/andras-beres-789190210' target='_blank'>András Béres</a></div>"
 gr.Interface(
     generate_images,
     inputs=inputs,